AI Cloud Engineer

Genworth Financial•Raleigh, NC

7d•Hybrid

About The Position

At Enact, we understand that there’s no place like home. That’s why we bring our deep expertise, insightful offerings, and extra mile service to work every day to help lenders put more people in homes and keep them there. We’re looking for a AI Cloud Engineer in Raleigh, NC to join us in fulfilling our mission, while utilizing our values of excellence, improvement, and connection. In this role, you will you’ll design, build, and operate AI solutions on AWS. You’ll play a key role in operationalizing AI at scale, working across the organization with data scientists, data engineers, and product teams to deliver high-impact GenAI solutions. The ideal candidate has a proven track record of building and operating scalable and secure cloud infrastructure on AWS. Their background includes automating infrastructure using Infrastructure as Code (IaC) and implementing robust CI/CD pipelines. They thrive in cross-functional environments, delivering end-to-end GenAI and cloud solutions. LOCATION Enact Headquarters, Raleigh, NC – Hybrid Schedule

Requirements

Bachelor’s degree in computer science, information technology, cloud engineering or similar field
5+ years experience in AWS Foundations: ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF, Bedrock.
5+ years experience with CI/CD: CodeBuild/CodePipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
3+ years experience with IaC & Platforms: Terraform (preferred), parameterized modules, environment promotion, tagging, and cost governance.
3+ years experience in Python, JSON, bash; strong containerization with Docker.
Proven ability to perform Unit/integration tests for accuracy, KPIs, usage metrics, adoption.
Demonstrated operational mindset with experience in incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
Clear communication, collaborative mindset, and a bias to automate & document.
Experience with resilient application design and secure coding practices.
Experience using test-driven (TDD) or behavior driven (BDD) development.

Nice To Haves

Experience with enterprise-grade GenAI platforms such as AWS Bedrock (Anthropic Claude), MS Azure AI Services (OpenAI/ChatGPT)
Experience adhering to and implementing data security and governance best practices in a highly regulated environment (encryption, RBAC, auditing, regulatory standards – HIPAA, SOC2, etc.)

Responsibilities

GenAI Platform Enablement: Support the development, implementation, scalability and operations of enterprise-grade GenAI platforms.
Engineering: Engineer robust, secure, governed, and re-useable GenAI capabilities and patterns across the business by leveraging best-practices in architecture, automation, and DevOps.
Collaboration: Contribute to the development and engineering of internal tools, APIs, and infrastructure to streamline adoption of GenAI services across the organization
Observability & Quality: Implement end-to-end monitoring, alerting SLA/SLOs, metrics, and cost
Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
Partner & Mentor: Collaborate with on-shore/off-shore teams; work with key stakeholders on packaging, testing, and performance; contribute to standards and reviews.
Hands-on Delivery : Prototype new patterns and solutions; troubleshoot production issues across data, model, and infrastructure layers.